Data Science Director

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. 

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

About the Role

Day-to-day, you will lead analyses to help develop product features that address key consumer pain points, working closely with Product Managers, Engineers, Researchers and Data Engineers. You will lead a dedicated data science team tasked with analyzing business and product performance, as well as designing and conducting experiments, and contributing to product planning. This role sits at the heart of our mission; your work will directly impact hundreds of thousands of people by helping them access the care they need and stay with it long enough to truly get better. This is a player-coach role, where we expect you to both guide analysts’ work as well as drive your own projects

Required Qualifications

• 10+ years of related professional experience.

• Bachelor (or higher) degree with background in Data Science Math, Economics, Computer Science, Statistics or other quantitative fields

• 5+ years of experience in data analytics or data science, supporting multiple ends of a business with analytical recommendations (i.e. Sales, Clinical Operations, Finance, Customer Experience, etc.)

• Solid people management experience, building and leading teams and developing talent

• Demonstrated ability to translate technical findings to non-technical stakeholders; strong data storytelling

• Deep experience with statistical analysis and A/B testing

• Deep understanding of product analytics metrics (e.g., retention, conversion, engagement, churn) and marketplace balance metrics, with experience translating them into actionable insights.

• Expert in Python and/or SQL, as well as familiarity with data visualization tools (Looker, Tableau, etc.)